Evidence map›Paper›PMID 39060865›Full record

ArticleFrontiers of medicine2024

Prevalence of anemia of varying severity, geographic variations, and association with metabolic factors among women of reproductive age in China: a nationwide, population-based study.

Heling Bao, Yuanyuan Huang, Yi Sun, Yunli Chen, Yan Luo, Liping Yan, Sailimai Man, Canqing Yu, Jun Lv, Meili Ge and 5 more

Abstract read
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In one paragraph

Article in Frontiers of medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Heling Bao *Institute of Medical Information, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100020, China.
Yuanyuan Huang *Institute of Medical Information, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100020, China.
Yi SunInstitute of Medical Information, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100020, China.
Yunli ChenInstitute of Medical Information, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100020, China.
Yan LuoInstitute of Medical Information, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100020, China.
Liping YanInstitute of Medical Information, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100020, China.
Sailimai ManDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
Canqing YuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
Jun LvDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
Meili GeAnaemia Diagnosis and Treatment Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300052, China.
Linhong WangNational Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100050, China.
Liming LiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China. lmlee@bjmu.edu.cn.
Bo WangMeinian Institute of Health, Beijing, 100044, China. paul@meinianresearch.com.
Hui LiuInstitute of Medical Information, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100020, China. liuhui@pumc.edu.cn.
Xiaoxi LiuInstitute of Medical Information, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100020, China. liu.xiaoxi@imicams.ac.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate the epidemiological characteristics of anemia of varying severity among women of reproductive age, we conducted a nationwide, cross-sectional study between January 1, 2019 and December 31, 2019, including 4 184 547 nonpregnant women aged 18-49 years from all 31 provinces in the mainland of China. Anemia was defined as having hemoglobin concentration < 120.0 g/L and categorized as mild, moderate, and severe. Multivariate logistic models with cluster effect were used to explore the association of anemia and metabolic risk factors. The standardized prevalence of anemia and moderate and worse anemia among women of reproductive age in China was 15.8% (95% CI 15.1%-16.6%) and 6.6% (6.3%-7.0%), respectively. The prevalence of anemia and the proportion of moderate and worse anemia significantly increased with age. We also observed great geographic variations in the prevalence of anemia, with a high likelihood in south, central, and northwest China. Moderate and/or severe anemia was positively associated with overweight and obesity, diabetes, and impaired kidney function. In conclusion, anemia remains a significant challenge for women of reproductive age in China. Geographic variations and metabolic risk factors should be considered in the comprehensive and targeting strategy for anemia reduction.

Indexed as

AnemiaAdolescentAdultChinaCross-Sectional StudiesFemaleHemoglobinsHumansMiddle AgedObesityPrevalenceRisk FactorsSeverity of Illness IndexYoung AdultHemoglobinsanemiabody mass indexChinametabolic factorprevalencewomen of reproductive age

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.